Fibrous depth filters are frequently used for the purification of gas streams with low dust loadings, as well as processes where a high initial filtration efficiency is required (e.g., clean rooms for aseptic production). One tool suitable for supporting the development of optimized filter media is the use of numerical simulations. The drawback of this technique is the high computational resources required. In this work, a new and fast approach based on a one‐dimensional model was applied. Structural characteristics (e.g., porosity distribution and fiber diameter) of two different filter media were successfully determined using a novel X‐ray microscope. These characteristics were incorporated in the filtration model, and their influence on the calculations was evaluated. It was found that the porosity distribution does have an impact on local (microscopic) deposition rates, but only a minor influence on the macroscopic filtration efficiency (around 3%). Benefits of the model are the application of measured structural data and the low computational expense. Compared to experimental data (VDI 3926 / ISO 11057), the prediction of the filtration efficiency can be improved by incorporating the structural data in the model.

中文翻译：

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考虑层析成像数据的深度过滤器分离性能建模

纤维深度过滤器通常用于净化低粉尘负荷的气流，以及需要高初始过滤效率的工艺（例如，用于无菌生产的洁净室）。数值模拟的使用是一种适合于支持优化过滤介质开发的工具。该技术的缺点是需要大量的计算资源。在这项工作中，采用了一种基于一维模型的新的快速方法。使用新型X射线显微镜成功确定了两种不同过滤介质的结构特征（例如，孔隙率分布和纤维直径）。将这些特征合并到过滤模型中，并评估它们对计算的影响。已经发现，孔隙率分布的确对局部（微观）沉积速率有影响，但对宏观过滤效率仅有很小的影响（约3％）。该模型的好处是可应用测量的结构数据，并且计算费用低。与实验数据（VDI 3926 / ISO 11057）相比，可以通过将结构数据合并到模型中来提高对过滤效率的预测。